无线室内定位误差模型的开发与优化

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI:10.1109/ICSEng.2017.41

Zhengyu Yu, Z. Chaczko, J. Jiang

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引用次数: 0

摘要

介绍了新一代室内无线定位误差模型。为了优化基于iBeacon传感器的室内无线定位系统，提出了一种新的卡尔曼滤波建模算法。它的目的是检测和减少错误。本文给出了Matlab仿真、实现和验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development and Optimization of Wireless Indoor Localization Error Modelling

this paper introduces a new generation an error modelling of wireless indoor localization. A newly designed algorithm modelling by using Kalman Filter is developed to optimize the wireless indoor localization system based on iBeacon sensors. It is designed to detect and minimize the errors. Matlab simulations, implementation, and validation are presented in the paper.

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来源期刊

2017 25th International Conference on Systems Engineering (ICSEng)

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